A5026741717- Graphene research and applications
- Boron and Carbon Nanomaterials Research
- MXene and MAX Phase Materials
- Thermal properties of materials
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- 3D Shape Modeling and Analysis
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Advanced Thermoelectric Materials and Devices
- CO2 Reduction Techniques and Catalysts
- Mechanical and Optical Resonators
- Ionic liquids properties and applications
- Grouting, Rheology, and Soil Mechanics
- Perovskite Materials and Applications
- Internet Traffic Analysis and Secure E-voting
- Web Data Mining and Analysis
- Handwritten Text Recognition Techniques
- Infrared Target Detection Methodologies
- Polymer Nanocomposite Synthesis and Irradiation
- Network Traffic and Congestion Control
- Geomechanics and Mining Engineering
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Geophysics and Gravity Measurements
Collaborative Innovation Center of Advanced Microstructures
2021-2024
Nanjing University
2021-2024
Chuzhou University
2023
Alibaba Group (China)
2021
Fudan University
2018-2020
Xuzhou University of Technology
2005
Abstract Hydrogel electrolytes (HEs), characterized by intrinsic safety, mechanical stability, and biocompatibility, can promote the development of flexible aqueous zinc‐ion batteries (FAZIBs). However, current FAZIB technology is severely restricted uncontrollable dendrite growth arising from undesirable reactions between HEs with sluggish ionic conductivity Zn metal. To overcome this challenge, work proposes a molecular engineering strategy, which involves introduction oxygen‐rich...
Abstract Aqueous rechargeable zinc–metal batteries are a promising candidate for next‐generation energy storage devices due to their intrinsic high capacity, low cost, and safety. However, uncontrollable dendrite formation is serious problem, resulting in limited lifespan poor coulombic efficiency of anodes. To address these issues, 3D porous hollow fiber scaffold with well‐dispersed TiO 2 , SiO carbon used as superzincophilic host materials zinc The amorphous allow controllable nucleation...
We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from single color image. Limited by the nature of neural network, previous methods usually represent volume or point cloud, and it is non-trivial to convert them more ready-to-use model. Unlike existing methods, our network represents graph-based convolutional correct geometry progressively deforming ellipsoid, leveraging perceptual features extracted input adopt coarse-to-fine strategy make whole...
In this paper, we propose an end-to-end deep learning architecture that generates 3D triangular meshes from single color images. Restricted by the nature of prevalent techniques, majority previous works represent shapes in volumes or point clouds. However, it is non-trivial to convert these representations compact and ready-to-use mesh models. Unlike existing methods, our network represents meshes, which are essentially graphs well suited for graph-based convolutional neural networks....
The effective identification of the active catalytic phase is essential to elucidate growth mechanism boron nitride nanotubes (BNNTs) and realize their controllable scalable synthesis. However, owing complexity chemical reactions during BNNT via vapor deposition (CVD) lack techniques for in situ characterization at high temperatures (1100–1300 °C), identifying true catalyst challenging. Herein, an aluminum (Al)‐based CVD investigated. initial Al 2 O 3 nanoparticle precursor transformed into...
Abstract Boron nitride nanotubes (BNNTs) are promising materials due to their unique physical and chemical properties. Fabrication technologies based on gas‐phase reactions reduce the control collection efficiency of BNNTs reactant product dispersion within reaction vessel. A surface growth method that allows for controllable in certain regions using a preburied boron source is introduced. This work leverages high solubility metals create boronized layer which serves as confine BNNTs. Dense...
The large-scale synthesis of high-quality boron nitride nanotubes (BNNTs) has attracted considerable interests due to their applications in nanocomposites, thermal management, and so on. Despite decades development, efficient preparation BNNTs, which relies on the effective design precursors catalysts deep insights into catalytic mechanisms, is still urgently needed. Here, a self-catalytic process designed grow BNNTs using ternary W-B-Li compounds. compounds provide source catalyst for...
Abstract Hexagonal boron nitride (h-BN) and its nanomaterials are among the most promising candidates for use in thermal management applications because of their high conductivity, stability, good electric insulation, when used as conductive fillers, they enhance overall properties polymer composites. In this review, basic concepts h-BN introduced, followed by synthesis BN nanotubes nanosheets. Then, various novel methods to fabricate composites with improved thermally paths discussed. They...
Compared to other synthetic methods, the synthesis of boron nitride nanotubes (BNNTs) by oxide chemical vapor deposition (BOCVD) method can balance purity and quality product nanotubes. However, due solid reaction characteristics monomers, closed system, temperature over 1000 °C, growth studies BNNTs have been in a dilemma. To this end, simultaneous thermal analysis combined with multi-atmosphere annealing experiments at corresponding temperatures is used study inorganic solid-state...
The on-demand assembly of 2D heterostructures has brought about both novel interfacial physical chemistry and optoelectronic applications; however, existing studies rarely focus on the complementary part—the cavity, which is a new-born area with unprecedented opportunities. In this study, we have investigated electric field inside spacer-free cavity consisting monolayer semiconductor gold film substrate. We directly captured built-in crossing blinking using Kelvin probe force...
The chemical vapor deposition (CVD) method offers a controlled and scalable approach for the large-scale production of boron nitride nanotubes (BNNTs). However, current research on BNNTs has been primarily focused identifying precursors that can facilitate efficient preparation pure BNNTs. collection remains significant challenge due to complex nature CVD reaction, which is influenced by variable location floating aggregation generated from gas phase reaction. To address this issue, we...
Abstract Boron nitride‐based polymer composites possess high thermal conductivity and are commonly used for management. However, the poor interfacial interaction between fillers matrix random distribution of restrict further improvement other properties these composites. Therefore, we propose a strategy to fabricate highly thermally conductive with multifunctionalities by interacting boron nitride as filler poly(vinyl alcohol) (PVA) after ball milling modification, forming layered nacre‐like...
The inherent properties of boron nitride nanotubes (BNNTs) can be further enhanced through the control their anisotropy. In particular, horizontally aligned BNNTs (HABNNTs) exhibit considerable potential for various applications. However, directly synthesizing HABNNTs is difficult owing to random floating and absence directional forces. Here, we employed a simple, efficient, universal "surface-like growth" strategy synthesize high-density high-quality in W2B5/Zn precursor system. First,...
Abstract Lowering the synthesis temperature of boron nitride nanotubes (BNNTs) is crucial for their development. The primary reason adopting a high to enable effective activation high-melting-point solid boron. In this study, we developed novel approach efficiently activating by introducing alkali metal compounds into conventional MgO–B system. This can be adopted form various low-melting-point AM–Mg–B–O growth systems. These systems have improved catalytic capability and reactivity even...
For the problem that correlation filter (CF) trackers can not effectively deal with occlusion and cause loss of target, a large number tracking algorithm improvements focus on combination more powerful features to enrich apparent model target. However, this only helps discriminate target from background within small neighborhood. In paper, an improved context-aware filtering framework is introduced, which comprehensively integrate global context information in tracker target's fast motion,...
5-Mercapto-1-methylimidazole possesses the ability to coordinate with Zn and interact CO 2 intermediates, which helped improve RR performance of nanosheets.
Super spreaders are the flow that have a large number of distinct connections (also called spread), which related with many threats to networks. Estimating spread is crucial step in super spreader detection. However, existing methods cannot achieve estimation terms accurate, efficient, and reversible simultaneously. All these characteristics highly required for high-speed network measurement. In this paper, we propose MorphSketch, new data structure estimates detection high accuracy, memory...
We present an online Item Intelligent Publishing System used in large scale Consumer to (C2C) transaction platform, named as I2PS, it is designed for personal seller publish their items automatic way with the uploaded images. Our I2PS deployed Xianyu mobile App, largest second-hand item shopping platform China. The proposed system not only can guide how photograph publishing more details based on category recognition module, but also intelligently tell exactly what this product and which...